{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Class08"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set(style='ticks',palette='Set2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>mktrf</th>\n",
       "      <th>smb</th>\n",
       "      <th>hml</th>\n",
       "      <th>rf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>192607</td>\n",
       "      <td>2.96</td>\n",
       "      <td>-2.30</td>\n",
       "      <td>-2.87</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>192608</td>\n",
       "      <td>2.64</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>4.19</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>192609</td>\n",
       "      <td>0.36</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>192610</td>\n",
       "      <td>-3.24</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>192611</td>\n",
       "      <td>2.53</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     date  mktrf   smb   hml    rf\n",
       "0  192607   2.96 -2.30 -2.87  0.22\n",
       "1  192608   2.64 -1.40  4.19  0.25\n",
       "2  192609   0.36 -1.32  0.01  0.23\n",
       "3  192610  -3.24  0.04  0.51  0.32\n",
       "4  192611   2.53 -0.20 -0.35  0.31"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_path = '/Users/ml/Google Drive/af/teaching/database/data/'\n",
    "ff3 = pd.read_csv(file_path+'ff_factors.csv',header=0,names=['date','mktrf','smb','hml','rf'])\n",
    "ff3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>me1bm1</th>\n",
       "      <th>me1bm2</th>\n",
       "      <th>me1bm3</th>\n",
       "      <th>me1bm4</th>\n",
       "      <th>me1bm5</th>\n",
       "      <th>me2bm1</th>\n",
       "      <th>me2bm2</th>\n",
       "      <th>me2bm3</th>\n",
       "      <th>me2bm4</th>\n",
       "      <th>...</th>\n",
       "      <th>me4bm1</th>\n",
       "      <th>me4bm2</th>\n",
       "      <th>me4bm3</th>\n",
       "      <th>me4bm4</th>\n",
       "      <th>me4bm5</th>\n",
       "      <th>me5bm1</th>\n",
       "      <th>me5bm2</th>\n",
       "      <th>me5bm3</th>\n",
       "      <th>me5bm4</th>\n",
       "      <th>me5bm5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>192607</td>\n",
       "      <td>3.78</td>\n",
       "      <td>-0.41</td>\n",
       "      <td>-1.94</td>\n",
       "      <td>0.35</td>\n",
       "      <td>2.05</td>\n",
       "      <td>2.19</td>\n",
       "      <td>2.42</td>\n",
       "      <td>0.49</td>\n",
       "      <td>-1.58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.19</td>\n",
       "      <td>0.27</td>\n",
       "      <td>2.47</td>\n",
       "      <td>3.45</td>\n",
       "      <td>6.09</td>\n",
       "      <td>2.03</td>\n",
       "      <td>3.11</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>192608</td>\n",
       "      <td>-2.21</td>\n",
       "      <td>-8.73</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.61</td>\n",
       "      <td>8.40</td>\n",
       "      <td>2.17</td>\n",
       "      <td>-1.18</td>\n",
       "      <td>4.01</td>\n",
       "      <td>0.46</td>\n",
       "      <td>...</td>\n",
       "      <td>1.33</td>\n",
       "      <td>3.87</td>\n",
       "      <td>2.01</td>\n",
       "      <td>2.17</td>\n",
       "      <td>5.34</td>\n",
       "      <td>1.01</td>\n",
       "      <td>4.19</td>\n",
       "      <td>2.01</td>\n",
       "      <td>5.48</td>\n",
       "      <td>7.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>192609</td>\n",
       "      <td>-6.21</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>-6.20</td>\n",
       "      <td>-1.64</td>\n",
       "      <td>0.86</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>-1.26</td>\n",
       "      <td>1.08</td>\n",
       "      <td>-3.04</td>\n",
       "      <td>...</td>\n",
       "      <td>1.09</td>\n",
       "      <td>-0.53</td>\n",
       "      <td>-1.73</td>\n",
       "      <td>1.46</td>\n",
       "      <td>0.87</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>3.65</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.75</td>\n",
       "      <td>-2.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>192610</td>\n",
       "      <td>-8.62</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>-5.67</td>\n",
       "      <td>5.72</td>\n",
       "      <td>-2.55</td>\n",
       "      <td>-1.80</td>\n",
       "      <td>-3.27</td>\n",
       "      <td>-5.07</td>\n",
       "      <td>-8.05</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.34</td>\n",
       "      <td>-2.66</td>\n",
       "      <td>-2.03</td>\n",
       "      <td>-3.11</td>\n",
       "      <td>-5.35</td>\n",
       "      <td>-2.74</td>\n",
       "      <td>-3.01</td>\n",
       "      <td>-2.24</td>\n",
       "      <td>-4.67</td>\n",
       "      <td>-5.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>192611</td>\n",
       "      <td>3.47</td>\n",
       "      <td>6.65</td>\n",
       "      <td>2.26</td>\n",
       "      <td>-4.70</td>\n",
       "      <td>0.54</td>\n",
       "      <td>2.91</td>\n",
       "      <td>-2.37</td>\n",
       "      <td>3.01</td>\n",
       "      <td>4.66</td>\n",
       "      <td>...</td>\n",
       "      <td>3.44</td>\n",
       "      <td>2.39</td>\n",
       "      <td>3.74</td>\n",
       "      <td>4.93</td>\n",
       "      <td>1.82</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2.53</td>\n",
       "      <td>1.52</td>\n",
       "      <td>3.66</td>\n",
       "      <td>2.56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     date  me1bm1  me1bm2  me1bm3  me1bm4  me1bm5  me2bm1  me2bm2  me2bm3  \\\n",
       "0  192607    3.78   -0.41   -1.94    0.35    2.05    2.19    2.42    0.49   \n",
       "1  192608   -2.21   -8.73    2.44    0.61    8.40    2.17   -1.18    4.01   \n",
       "2  192609   -6.21   -0.30   -6.20   -1.64    0.86   -1.85   -1.26    1.08   \n",
       "3  192610   -8.62   -3.75   -5.67    5.72   -2.55   -1.80   -3.27   -5.07   \n",
       "4  192611    3.47    6.65    2.26   -4.70    0.54    2.91   -2.37    3.01   \n",
       "\n",
       "   me2bm4   ...    me4bm1  me4bm2  me4bm3  me4bm4  me4bm5  me5bm1  me5bm2  \\\n",
       "0   -1.58   ...      1.59    1.53    1.19    0.27    2.47    3.45    6.09   \n",
       "1    0.46   ...      1.33    3.87    2.01    2.17    5.34    1.01    4.19   \n",
       "2   -3.04   ...      1.09   -0.53   -1.73    1.46    0.87   -1.29    3.65   \n",
       "3   -8.05   ...     -3.34   -2.66   -2.03   -3.11   -5.35   -2.74   -3.01   \n",
       "4    4.66   ...      3.44    2.39    3.74    4.93    1.82    4.29    2.53   \n",
       "\n",
       "   me5bm3  me5bm4  me5bm5  \n",
       "0    2.03    3.11    0.56  \n",
       "1    2.01    5.48    7.76  \n",
       "2    0.10   -0.75   -2.43  \n",
       "3   -2.24   -4.67   -5.81  \n",
       "4    1.52    3.66    2.56  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "port25 = pd.read_csv(file_path+'25portfolios.csv')\n",
    "port25.columns = [i.lower().replace(' ','') for i in port25.columns]\n",
    "port25 = port25.rename(columns={'smalllobm':'me1bm1','smallhibm':'me1bm5','biglobm':'me5bm1','bighibm':'me5bm5'})\n",
    "port25.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>port</th>\n",
       "      <th>date</th>\n",
       "      <th>ret</th>\n",
       "      <th>mktrf</th>\n",
       "      <th>smb</th>\n",
       "      <th>hml</th>\n",
       "      <th>rf</th>\n",
       "      <th>retx</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192607</td>\n",
       "      <td>3.78</td>\n",
       "      <td>2.96</td>\n",
       "      <td>-2.30</td>\n",
       "      <td>-2.87</td>\n",
       "      <td>0.22</td>\n",
       "      <td>3.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192608</td>\n",
       "      <td>-2.21</td>\n",
       "      <td>2.64</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>4.19</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-2.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192609</td>\n",
       "      <td>-6.21</td>\n",
       "      <td>0.36</td>\n",
       "      <td>-1.32</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.23</td>\n",
       "      <td>-6.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192610</td>\n",
       "      <td>-8.62</td>\n",
       "      <td>-3.24</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-8.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192611</td>\n",
       "      <td>3.47</td>\n",
       "      <td>2.53</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>-0.35</td>\n",
       "      <td>0.31</td>\n",
       "      <td>3.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192612</td>\n",
       "      <td>13.95</td>\n",
       "      <td>2.62</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.28</td>\n",
       "      <td>13.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192701</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>4.83</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192702</td>\n",
       "      <td>2.49</td>\n",
       "      <td>4.18</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192703</td>\n",
       "      <td>6.40</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-1.60</td>\n",
       "      <td>-2.67</td>\n",
       "      <td>0.30</td>\n",
       "      <td>6.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>192704</td>\n",
       "      <td>5.84</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.25</td>\n",
       "      <td>5.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     port    date    ret  mktrf   smb   hml    rf   retx\n",
       "0  me1bm1  192607   3.78   2.96 -2.30 -2.87  0.22   3.56\n",
       "1  me1bm1  192608  -2.21   2.64 -1.40  4.19  0.25  -2.46\n",
       "2  me1bm1  192609  -6.21   0.36 -1.32  0.01  0.23  -6.44\n",
       "3  me1bm1  192610  -8.62  -3.24  0.04  0.51  0.32  -8.94\n",
       "4  me1bm1  192611   3.47   2.53 -0.20 -0.35  0.31   3.16\n",
       "5  me1bm1  192612  13.95   2.62 -0.04 -0.02  0.28  13.67\n",
       "6  me1bm1  192701   0.45  -0.06 -0.56  4.83  0.25   0.20\n",
       "7  me1bm1  192702   2.49   4.18 -0.10  3.17  0.26   2.23\n",
       "8  me1bm1  192703   6.40   0.13 -1.60 -2.67  0.30   6.10\n",
       "9  me1bm1  192704   5.84   0.46  0.43  0.60  0.25   5.59"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "port25_1 = pd.melt(port25,id_vars='date',value_vars=port25.columns[1:])\n",
    "port25_1.columns = ['date','port','ret']\n",
    "port25_2 = port25_1[['port','date','ret']].merge(ff3,how='inner',on='date')\n",
    "port25_2['retx'] = port25_2['ret'] - port25_2['rf']\n",
    "port25_2 = port25_2.sort_values(['port','date']).reset_index(drop=True)\n",
    "port25_2.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define function to estimate $\\alpha$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ols_reg(reg_data,x):\n",
    "    df = reg_data.copy()\n",
    "    b = sm.OLS(df['retx'],sm.add_constant(df[x]),missing='drop').fit().params\n",
    "    b.index = ['alpha']+['b_'+i for i in x]\n",
    "    t = sm.OLS(df['retx'],sm.add_constant(df[x]),missing='drop').fit().tvalues\n",
    "    t.index = ['t_'+i for i in ['alpha']+x]\n",
    "    r2 = pd.Series(sm.OLS(df['retx'],sm.add_constant(df[x]),missing='drop').fit().rsquared,index=['adj. R2'])\n",
    "    est = pd.concat([b,t,r2])\n",
    "    return est"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define function to highlight $\\alpha$ with t value greater than 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sig_style(t):\n",
    "    sig_id = t.abs() >= 2\n",
    "    return ['background-color: yellow' if i else '' for i in sig_id]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CAPM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### CAPM before 1965"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style>  \n",
       "<table id=\"T_e7976c4c_a216_11e8_be89_f45c898d729b\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >count</th> \n",
       "        <th class=\"col_heading level0 col1\" >mean</th> \n",
       "        <th class=\"col_heading level0 col2\" >std</th> \n",
       "        <th class=\"col_heading level0 col3\" >alpha</th> \n",
       "        <th class=\"col_heading level0 col4\" >b_mktrf</th> \n",
       "        <th class=\"col_heading level0 col5\" >t_alpha</th> \n",
       "        <th class=\"col_heading level0 col6\" >t_mktrf</th> \n",
       "        <th class=\"col_heading level0 col7\" >adj. R2</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >port</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row0\" class=\"row_heading level0 row0\" >me1bm1</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col0\" class=\"data row0 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col1\" class=\"data row0 col1\" >1.01236</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col2\" class=\"data row0 col2\" >16.3199</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col3\" class=\"data row0 col3\" >-0.511967</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col4\" class=\"data row0 col4\" >1.76443</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col5\" class=\"data row0 col5\" >-0.921565</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col6\" class=\"data row0 col6\" >20.4194</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow0_col7\" class=\"data row0 col7\" >0.475457</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row1\" class=\"row_heading level0 row1\" >me1bm2</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col0\" class=\"data row1 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col1\" class=\"data row1 col1\" >0.552706</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col2\" class=\"data row1 col2\" >12.7682</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col3\" class=\"data row1 col3\" >-0.764265</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col4\" class=\"data row1 col4\" >1.52442</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col5\" class=\"data row1 col5\" >-1.96462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col6\" class=\"data row1 col6\" >25.1937</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow1_col7\" class=\"data row1 col7\" >0.579803</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row2\" class=\"row_heading level0 row2\" >me1bm3</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col0\" class=\"data row2 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col1\" class=\"data row2 col1\" >1.27628</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col2\" class=\"data row2 col2\" >11.9034</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col3\" class=\"data row2 col3\" >-0.0609646</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col4\" class=\"data row2 col4\" >1.54788</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col5\" class=\"data row2 col5\" >-0.195026</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col6\" class=\"data row2 col6\" >31.8351</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow2_col7\" class=\"data row2 col7\" >0.687812</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row3\" class=\"row_heading level0 row3\" >me1bm4</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col0\" class=\"data row3 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col1\" class=\"data row3 col1\" >1.39701</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col2\" class=\"data row3 col2\" >10.9317</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col3\" class=\"data row3 col3\" >0.160258</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col4\" class=\"data row3 col4\" >1.43157</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col5\" class=\"data row3 col5\" >0.567168</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col6\" class=\"data row3 col6\" >32.573</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow3_col7\" class=\"data row3 col7\" >0.697567</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row4\" class=\"row_heading level0 row4\" >me1bm5</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col0\" class=\"data row4 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col1\" class=\"data row4 col1\" >1.72545</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col2\" class=\"data row4 col2\" >12.4137</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col3\" class=\"data row4 col3\" >0.354985</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col4\" class=\"data row4 col4\" >1.58634</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col5\" class=\"data row4 col5\" >1.04999</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col6\" class=\"data row4 col6\" >30.1666</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow4_col7\" class=\"data row4 col7\" >0.66424</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row5\" class=\"row_heading level0 row5\" >me2bm1</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col0\" class=\"data row5 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col1\" class=\"data row5 col1\" >0.799113</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col2\" class=\"data row5 col2\" >8.89985</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col3\" class=\"data row5 col3\" >-0.215435</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col4\" class=\"data row5 col4\" >1.17436</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col5\" class=\"data row5 col5\" >-0.953457</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col6\" class=\"data row5 col6\" >33.4148</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow5_col7\" class=\"data row5 col7\" >0.708223</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row6\" class=\"row_heading level0 row6\" >me2bm2</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col0\" class=\"data row6 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col1\" class=\"data row6 col1\" >1.14232</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col2\" class=\"data row6 col2\" >9.13707</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col3\" class=\"data row6 col3\" >0.0538482</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col4\" class=\"data row6 col4\" >1.25992</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col5\" class=\"data row6 col5\" >0.263411</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col6\" class=\"data row6 col6\" >39.6241</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow6_col7\" class=\"data row6 col7\" >0.773407</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row7\" class=\"row_heading level0 row7\" >me2bm3</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col0\" class=\"data row7 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col1\" class=\"data row7 col1\" >1.15106</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col2\" class=\"data row7 col2\" >9.14801</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col3\" class=\"data row7 col3\" >0.0354146</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col4\" class=\"data row7 col4\" >1.29138</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col5\" class=\"data row7 col5\" >0.189245</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col6\" class=\"data row7 col6\" >44.3659</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow7_col7\" class=\"data row7 col7\" >0.810569</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row8\" class=\"row_heading level0 row8\" >me2bm4</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col0\" class=\"data row8 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col1\" class=\"data row8 col1\" >1.26258</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col2\" class=\"data row8 col2\" >9.61191</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col3\" class=\"data row8 col3\" >0.100078</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col4\" class=\"data row8 col4\" >1.34561</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col5\" class=\"data row8 col5\" >0.491887</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col6\" class=\"data row8 col6\" >42.5207</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow8_col7\" class=\"data row8 col7\" >0.797179</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row9\" class=\"row_heading level0 row9\" >me2bm5</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col0\" class=\"data row9 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col1\" class=\"data row9 col1\" >1.61742</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col2\" class=\"data row9 col2\" >11.3325</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col3\" class=\"data row9 col3\" >0.28137</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col4\" class=\"data row9 col4\" >1.54651</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col5\" class=\"data row9 col5\" >1.07276</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col6\" class=\"data row9 col6\" >37.908</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow9_col7\" class=\"data row9 col7\" >0.757514</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row10\" class=\"row_heading level0 row10\" >me3bm1</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col0\" class=\"data row10 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col1\" class=\"data row10 col1\" >0.957403</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col2\" class=\"data row10 col2\" >8.3396</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col3\" class=\"data row10 col3\" >-0.0708588</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col4\" class=\"data row10 col4\" >1.19023</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col5\" class=\"data row10 col5\" >-0.436562</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col6\" class=\"data row10 col6\" >47.1451</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow10_col7\" class=\"data row10 col7\" >0.828529</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row11\" class=\"row_heading level0 row11\" >me3bm2</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col0\" class=\"data row11 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col1\" class=\"data row11 col1\" >1.06844</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col2\" class=\"data row11 col2\" >7.58585</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col3\" class=\"data row11 col3\" >0.0947955</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col4\" class=\"data row11 col4\" >1.12701</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col5\" class=\"data row11 col5\" >0.831712</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col6\" class=\"data row11 col6\" >63.5723</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow11_col7\" class=\"data row11 col7\" >0.897811</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row12\" class=\"row_heading level0 row12\" >me3bm3</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col0\" class=\"data row12 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col1\" class=\"data row12 col1\" >1.18721</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col2\" class=\"data row12 col2\" >8.09507</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col3\" class=\"data row12 col3\" >0.15116</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col4\" class=\"data row12 col4\" >1.19924</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col5\" class=\"data row12 col5\" >1.21289</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col6\" class=\"data row12 col6\" >61.8651</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow12_col7\" class=\"data row12 col7\" >0.892706</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row13\" class=\"row_heading level0 row13\" >me3bm4</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col0\" class=\"data row13 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col1\" class=\"data row13 col1\" >1.21216</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col2\" class=\"data row13 col2\" >8.89139</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col3\" class=\"data row13 col3\" >0.0963027</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col4\" class=\"data row13 col4\" >1.29163</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col5\" class=\"data row13 col5\" >0.612315</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col6\" class=\"data row13 col6\" >52.7993</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow13_col7\" class=\"data row13 col7\" >0.858364</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row14\" class=\"row_heading level0 row14\" >me3bm5</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col0\" class=\"data row14 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col1\" class=\"data row14 col1\" >1.30277</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col2\" class=\"data row14 col2\" >11.2735</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col3\" class=\"data row14 col3\" >-0.0699782</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col4\" class=\"data row14 col4\" >1.58898</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col5\" class=\"data row14 col5\" >-0.301472</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col6\" class=\"data row14 col6\" >44.0106</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow14_col7\" class=\"data row14 col7\" >0.808088</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row15\" class=\"row_heading level0 row15\" >me4bm1</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col0\" class=\"data row15 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col1\" class=\"data row15 col1\" >0.857835</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col2\" class=\"data row15 col2\" >6.66403</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col3\" class=\"data row15 col3\" >-0.00701534</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col4\" class=\"data row15 col4\" >1.00108</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col5\" class=\"data row15 col5\" >-0.0781727</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col6\" class=\"data row15 col6\" >71.7182</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow15_col7\" class=\"data row15 col7\" >0.917908</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row16\" class=\"row_heading level0 row16\" >me4bm2</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col0\" class=\"data row16 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col1\" class=\"data row16 col1\" >0.972965</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col2\" class=\"data row16 col2\" >7.14695</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col3\" class=\"data row16 col3\" >0.0382308</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col4\" class=\"data row16 col4\" >1.08197</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col5\" class=\"data row16 col5\" >0.4372</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col6\" class=\"data row16 col6\" >79.5492</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow16_col7\" class=\"data row16 col7\" >0.932234</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row17\" class=\"row_heading level0 row17\" >me4bm3</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col0\" class=\"data row17 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col1\" class=\"data row17 col1\" >1.09749</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col2\" class=\"data row17 col2\" >7.94381</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col3\" class=\"data row17 col3\" >0.0757533</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col4\" class=\"data row17 col4\" >1.18268</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col5\" class=\"data row17 col5\" >0.646767</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col6\" class=\"data row17 col6\" >64.9182</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow17_col7\" class=\"data row17 col7\" >0.901591</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row18\" class=\"row_heading level0 row18\" >me4bm4</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col0\" class=\"data row18 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col1\" class=\"data row18 col1\" >1.16485</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col2\" class=\"data row18 col2\" >8.83381</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col3\" class=\"data row18 col3\" >0.05036</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col4\" class=\"data row18 col4\" >1.29004</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col5\" class=\"data row18 col5\" >0.333152</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col6\" class=\"data row18 col6\" >54.8673</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow18_col7\" class=\"data row18 col7\" >0.867451</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row19\" class=\"row_heading level0 row19\" >me4bm5</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col0\" class=\"data row19 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col1\" class=\"data row19 col1\" >1.32801</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col2\" class=\"data row19 col2\" >11.6121</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col3\" class=\"data row19 col3\" >-0.0899251</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col4\" class=\"data row19 col4\" >1.64128</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col5\" class=\"data row19 col5\" >-0.380608</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col6\" class=\"data row19 col6\" >44.6616</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow19_col7\" class=\"data row19 col7\" >0.812601</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row20\" class=\"row_heading level0 row20\" >me5bm1</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col0\" class=\"data row20 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col1\" class=\"data row20 col1\" >0.836623</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col2\" class=\"data row20 col2\" >6.16223</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col3\" class=\"data row20 col3\" >0.0237169</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col4\" class=\"data row20 col4\" >0.940954</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col5\" class=\"data row20 col5\" >0.360516</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col6\" class=\"data row20 col6\" >91.9577</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow20_col7\" class=\"data row20 col7\" >0.948409</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row21\" class=\"row_heading level0 row21\" >me5bm2</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col0\" class=\"data row21 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col1\" class=\"data row21 col1\" >0.790022</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col2\" class=\"data row21 col2\" >6.27096</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col3\" class=\"data row21 col3\" >-0.0372798</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col4\" class=\"data row21 col4\" >0.957616</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col5\" class=\"data row21 col5\" >-0.557495</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col6\" class=\"data row21 col6\" >92.0688</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow21_col7\" class=\"data row21 col7\" >0.948527</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row22\" class=\"row_heading level0 row22\" >me5bm3</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col0\" class=\"data row22 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col1\" class=\"data row22 col1\" >0.94145</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col2\" class=\"data row22 col2\" >7.05357</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col3\" class=\"data row22 col3\" >0.0355724</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col4\" class=\"data row22 col4\" >1.04857</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col5\" class=\"data row22 col5\" >0.337462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col6\" class=\"data row22 col6\" >63.9533</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow22_col7\" class=\"data row22 col7\" >0.898902</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row23\" class=\"row_heading level0 row23\" >me5bm4</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col0\" class=\"data row23 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col1\" class=\"data row23 col1\" >0.895022</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col2\" class=\"data row23 col2\" >8.58599</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col3\" class=\"data row23 col3\" >-0.19383</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col4\" class=\"data row23 col4\" >1.26036</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col5\" class=\"data row23 col5\" >-1.3667</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col6\" class=\"data row23 col6\" >57.135</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow23_col7\" class=\"data row23 col7\" >0.87649</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e7976c4c_a216_11e8_be89_f45c898d729blevel0_row24\" class=\"row_heading level0 row24\" >me5bm5</th> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col0\" class=\"data row24 col0\" >462</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col1\" class=\"data row24 col1\" >1.35621</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col2\" class=\"data row24 col2\" >11.5349</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col3\" class=\"data row24 col3\" >0.0208728</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col4\" class=\"data row24 col4\" >1.54568</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col5\" class=\"data row24 col5\" >0.0741456</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col6\" class=\"data row24 col6\" >35.3002</td> \n",
       "        <td id=\"T_e7976c4c_a216_11e8_be89_f45c898d729brow24_col7\" class=\"data row24 col7\" >0.73038</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1c1f91d860>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "capm_bef_mean = port25_2[port25_2['date']<196501].groupby('port')['retx'].aggregate(['count','mean','std'])\n",
    "capm_bef_est = port25_2[port25_2['date']<196501].groupby('port').apply(ols_reg,['mktrf'])\n",
    "capm_bef = capm_bef_mean.join(capm_bef_est)\n",
    "capm_bef.style.apply(sig_style,subset=['t_alpha'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "ax1 = sns.regplot(x='b_mktrf', y='mean', data=capm_bef,scatter_kws={\"s\": 60},ci=None)\n",
    "for i, txt in enumerate(capm_bef.index):\n",
    "    ax1.annotate(txt, (capm_bef['b_mktrf'][i], capm_bef['mean'][i]))\n",
    "\n",
    "plt.xlabel(r'$\\beta$')\n",
    "plt.ylabel('return')\n",
    "plt.title('CAPM from 1926 to 1964',fontweight='bold')\n",
    "sns.despine()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### CAPM after 1965"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col5 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col5 {\n",
       "            background-color:  yellow;\n",
       "        }</style>  \n",
       "<table id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729b\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >count</th> \n",
       "        <th class=\"col_heading level0 col1\" >mean</th> \n",
       "        <th class=\"col_heading level0 col2\" >std</th> \n",
       "        <th class=\"col_heading level0 col3\" >alpha</th> \n",
       "        <th class=\"col_heading level0 col4\" >b_mktrf</th> \n",
       "        <th class=\"col_heading level0 col5\" >t_alpha</th> \n",
       "        <th class=\"col_heading level0 col6\" >t_mktrf</th> \n",
       "        <th class=\"col_heading level0 col7\" >adj. R2</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >port</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row0\" class=\"row_heading level0 row0\" >me1bm1</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col0\" class=\"data row0 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col1\" class=\"data row0 col1\" >0.254786</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col2\" class=\"data row0 col2\" >7.99574</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col3\" class=\"data row0 col3\" >-0.468746</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col4\" class=\"data row0 col4\" >1.42729</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col5\" class=\"data row0 col5\" >-2.41226</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col6\" class=\"data row0 col6\" >32.9144</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow0_col7\" class=\"data row0 col7\" >0.63267</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row1\" class=\"row_heading level0 row1\" >me1bm2</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col0\" class=\"data row1 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col1\" class=\"data row1 col1\" >0.796292</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col2\" class=\"data row1 col2\" >6.97278</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col3\" class=\"data row1 col3\" >0.168547</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col4\" class=\"data row1 col4\" >1.23834</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col5\" class=\"data row1 col5\" >0.986018</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col6\" class=\"data row1 col6\" >32.4629</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow1_col7\" class=\"data row1 col7\" >0.626227</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row2\" class=\"row_heading level0 row2\" >me1bm3</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col0\" class=\"data row2 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col1\" class=\"data row2 col1\" >0.791125</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col2\" class=\"data row2 col2\" >6.03187</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col3\" class=\"data row2 col3\" >0.22959</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col4\" class=\"data row2 col4\" >1.10773</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col5\" class=\"data row2 col5\" >1.65146</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col6\" class=\"data row2 col6\" >35.7052</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow2_col7\" class=\"data row2 col7\" >0.669619</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row3\" class=\"row_heading level0 row3\" >me1bm4</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col0\" class=\"data row3 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col1\" class=\"data row3 col1\" >1.03013</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col2\" class=\"data row3 col2\" >5.74851</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col3\" class=\"data row3 col3\" >0.510699</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col4\" class=\"data row3 col4\" >1.02466</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col5\" class=\"data row3 col5\" >3.64649</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col6\" class=\"data row3 col6\" >32.7851</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow3_col7\" class=\"data row3 col7\" >0.630839</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row4\" class=\"row_heading level0 row4\" >me1bm5</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col0\" class=\"data row4 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col1\" class=\"data row4 col1\" >1.0913</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col2\" class=\"data row4 col2\" >6.04811</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col3\" class=\"data row4 col3\" >0.550703</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col4\" class=\"data row4 col4\" >1.06642</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col5\" class=\"data row4 col5\" >3.67056</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col6\" class=\"data row4 col6\" >31.8516</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow4_col7\" class=\"data row4 col7\" >0.617285</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row5\" class=\"row_heading level0 row5\" >me2bm1</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col0\" class=\"data row5 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col1\" class=\"data row5 col1\" >0.511823</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col2\" class=\"data row5 col2\" >7.24859</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col3\" class=\"data row5 col3\" >-0.199069</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col4\" class=\"data row5 col4\" >1.40236</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col5\" class=\"data row5 col5\" >-1.3514</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col6\" class=\"data row5 col6\" >42.6605</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow5_col7\" class=\"data row5 col7\" >0.743152</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row6\" class=\"row_heading level0 row6\" >me2bm2</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col0\" class=\"data row6 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col1\" class=\"data row6 col1\" >0.768463</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col2\" class=\"data row6 col2\" >6.02328</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col3\" class=\"data row6 col3\" >0.171509</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col4\" class=\"data row6 col4\" >1.1776</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col5\" class=\"data row6 col5\" >1.44625</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col6\" class=\"data row6 col6\" >44.4977</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow6_col7\" class=\"data row6 col7\" >0.758915</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row7\" class=\"row_heading level0 row7\" >me2bm3</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col0\" class=\"data row7 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col1\" class=\"data row7 col1\" >0.868542</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col2\" class=\"data row7 col2\" >5.46485</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col3\" class=\"data row7 col3\" >0.332494</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col4\" class=\"data row7 col4\" >1.05745</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col5\" class=\"data row7 col5\" >2.99545</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col6\" class=\"data row7 col6\" >42.6898</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow7_col7\" class=\"data row7 col7\" >0.743414</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row8\" class=\"row_heading level0 row8\" >me2bm4</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col0\" class=\"data row8 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col1\" class=\"data row8 col1\" >0.933106</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col2\" class=\"data row8 col2\" >5.28058</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col3\" class=\"data row8 col3\" >0.419274</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col4\" class=\"data row8 col4\" >1.01363</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col5\" class=\"data row8 col5\" >3.82187</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col6\" class=\"data row8 col6\" >41.4039</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow8_col7\" class=\"data row8 col7\" >0.731573</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row9\" class=\"row_heading level0 row9\" >me2bm5</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col0\" class=\"data row9 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col1\" class=\"data row9 col1\" >0.97122</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col2\" class=\"data row9 col2\" >6.07237</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col3\" class=\"data row9 col3\" >0.40157</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col4\" class=\"data row9 col4\" >1.12374</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col5\" class=\"data row9 col5\" >2.9152</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col6\" class=\"data row9 col6\" >36.5559</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow9_col7\" class=\"data row9 col7\" >0.679952</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row10\" class=\"row_heading level0 row10\" >me3bm1</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col0\" class=\"data row10 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col1\" class=\"data row10 col1\" >0.522076</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col2\" class=\"data row10 col2\" >6.65034</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col3\" class=\"data row10 col3\" >-0.151913</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col4\" class=\"data row10 col4\" >1.32956</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col5\" class=\"data row10 col5\" >-1.25389</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col6\" class=\"data row10 col6\" >49.1767</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow10_col7\" class=\"data row10 col7\" >0.793591</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row11\" class=\"row_heading level0 row11\" >me3bm2</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col0\" class=\"data row11 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col1\" class=\"data row11 col1\" >0.79</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col2\" class=\"data row11 col2\" >5.49035</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col3\" class=\"data row11 col3\" >0.2218</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col4\" class=\"data row11 col4\" >1.12087</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col5\" class=\"data row11 col5\" >2.42588</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col6\" class=\"data row11 col6\" >54.935</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow11_col7\" class=\"data row11 col7\" >0.827523</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row12\" class=\"row_heading level0 row12\" >me3bm3</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col0\" class=\"data row12 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col1\" class=\"data row12 col1\" >0.747338</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col2\" class=\"data row12 col2\" >5.04087</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col3\" class=\"data row12 col3\" >0.235648</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col4\" class=\"data row12 col4\" >1.0094</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col5\" class=\"data row12 col5\" >2.58195</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col6\" class=\"data row12 col6\" >49.5602</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow12_col7\" class=\"data row12 col7\" >0.796124</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row13\" class=\"row_heading level0 row13\" >me3bm4</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col0\" class=\"data row13 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col1\" class=\"data row13 col1\" >0.867702</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col2\" class=\"data row13 col2\" >4.93344</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col3\" class=\"data row13 col3\" >0.381038</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col4\" class=\"data row13 col4\" >0.960031</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col5\" class=\"data row13 col5\" >3.86674</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col6\" class=\"data row13 col6\" >43.6564</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow13_col7\" class=\"data row13 col7\" >0.751862</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row14\" class=\"row_heading level0 row14\" >me3bm5</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col0\" class=\"data row14 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col1\" class=\"data row14 col1\" >1.02345</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col2\" class=\"data row14 col2\" >5.6831</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col3\" class=\"data row14 col3\" >0.48648</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col4\" class=\"data row14 col4\" >1.05928</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col5\" class=\"data row14 col5\" >3.83287</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col6\" class=\"data row14 col6\" >37.3986</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow14_col7\" class=\"data row14 col7\" >0.689789</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row15\" class=\"row_heading level0 row15\" >me4bm1</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col0\" class=\"data row15 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col1\" class=\"data row15 col1\" >0.619287</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col2\" class=\"data row15 col2\" >5.93444</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col3\" class=\"data row15 col3\" >-0.00340155</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col4\" class=\"data row15 col4\" >1.22836</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col5\" class=\"data row15 col5\" >-0.0369911</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col6\" class=\"data row15 col6\" >59.8594</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow15_col7\" class=\"data row15 col7\" >0.85067</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row16\" class=\"row_heading level0 row16\" >me4bm2</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col0\" class=\"data row16 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col1\" class=\"data row16 col1\" >0.590777</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col2\" class=\"data row16 col2\" >5.15491</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col3\" class=\"data row16 col3\" >0.0454922</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col4\" class=\"data row16 col4\" >1.07567</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col5\" class=\"data row16 col5\" >0.597965</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col6\" class=\"data row16 col6\" >63.3583</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow16_col7\" class=\"data row16 col7\" >0.864535</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row17\" class=\"row_heading level0 row17\" >me4bm3</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col0\" class=\"data row17 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col1\" class=\"data row17 col1\" >0.694184</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col2\" class=\"data row17 col2\" >4.99476</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col3\" class=\"data row17 col3\" >0.181166</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col4\" class=\"data row17 col4\" >1.01202</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col5\" class=\"data row17 col5\" >2.10365</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col6\" class=\"data row17 col6\" >52.6588</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow17_col7\" class=\"data row17 col7\" >0.815106</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row18\" class=\"row_heading level0 row18\" >me4bm4</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col0\" class=\"data row18 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col1\" class=\"data row18 col1\" >0.826165</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col2\" class=\"data row18 col2\" >4.79316</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col3\" class=\"data row18 col3\" >0.344089</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col4\" class=\"data row18 col4\" >0.95098</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col5\" class=\"data row18 col5\" >3.83053</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col6\" class=\"data row18 col6\" >47.44</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow18_col7\" class=\"data row18 col7\" >0.781564</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row19\" class=\"row_heading level0 row19\" >me4bm5</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col0\" class=\"data row19 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col1\" class=\"data row19 col1\" >0.826086</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col2\" class=\"data row19 col2\" >5.716</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col3\" class=\"data row19 col3\" >0.275123</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col4\" class=\"data row19 col4\" >1.08687</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col5\" class=\"data row19 col5\" >2.25981</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col6\" class=\"data row19 col6\" >40.0046</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow19_col7\" class=\"data row19 col7\" >0.717857</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row20\" class=\"row_heading level0 row20\" >me5bm1</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col0\" class=\"data row20 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col1\" class=\"data row20 col1\" >0.466228</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col2\" class=\"data row20 col2\" >4.64952</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col3\" class=\"data row20 col3\" >-0.0296156</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col4\" class=\"data row20 col4\" >0.978139</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col5\" class=\"data row20 col5\" >-0.456136</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col6\" class=\"data row20 col6\" >67.5088</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow20_col7\" class=\"data row20 col7\" >0.878722</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row21\" class=\"row_heading level0 row21\" >me5bm2</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col0\" class=\"data row21 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col1\" class=\"data row21 col1\" >0.521395</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col2\" class=\"data row21 col2\" >4.45119</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col3\" class=\"data row21 col3\" >0.0462755</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col4\" class=\"data row21 col4\" >0.937256</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col5\" class=\"data row21 col5\" >0.749386</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col6\" class=\"data row21 col6\" >68.0141</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow21_col7\" class=\"data row21 col7\" >0.880303</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row22\" class=\"row_heading level0 row22\" >me5bm3</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col0\" class=\"data row22 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col1\" class=\"data row22 col1\" >0.530269</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col2\" class=\"data row22 col2\" >4.30679</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col3\" class=\"data row22 col3\" >0.100898</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col4\" class=\"data row22 col4\" >0.847012</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col5\" class=\"data row22 col5\" >1.21288</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col6\" class=\"data row22 col6\" >45.6259</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow22_col7\" class=\"data row22 col7\" >0.767959</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row23\" class=\"row_heading level0 row23\" >me5bm4</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col0\" class=\"data row23 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col1\" class=\"data row23 col1\" >0.477781</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col2\" class=\"data row23 col2\" >4.65066</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col3\" class=\"data row23 col3\" >0.0323432</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col4\" class=\"data row23 col4\" >0.878705</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col5\" class=\"data row23 col5\" >0.3214</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col6\" class=\"data row23 col6\" >39.1284</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow23_col7\" class=\"data row23 col7\" >0.7088</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729blevel0_row24\" class=\"row_heading level0 row24\" >me5bm5</th> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col0\" class=\"data row24 col0\" >631</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col1\" class=\"data row24 col1\" >0.661775</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col2\" class=\"data row24 col2\" >5.40202</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col3\" class=\"data row24 col3\" >0.175199</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col4\" class=\"data row24 col4\" >0.959857</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col5\" class=\"data row24 col5\" >1.32406</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col6\" class=\"data row24 col6\" >32.5065</td> \n",
       "        <td id=\"T_e8117b9c_a216_11e8_a7c0_f45c898d729brow24_col7\" class=\"data row24 col7\" >0.626855</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1c20a15080>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "capm_aft_mean = port25_2[port25_2['date']>=196501].groupby('port')['retx'].aggregate(['count','mean','std'])\n",
    "capm_aft_est = port25_2[port25_2['date']>=196501].groupby('port').apply(ols_reg,['mktrf'])\n",
    "capm_aft = capm_aft_mean.join(capm_aft_est)\n",
    "capm_aft.style.apply(sig_style,subset=['t_alpha'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "ax1 = sns.regplot(x='b_mktrf', y='mean', data=capm_aft,scatter_kws={\"s\": 60},ci=None)\n",
    "for i, txt in enumerate(capm_aft.index):\n",
    "    ax1.annotate(txt, (capm_aft['b_mktrf'][i], capm_aft['mean'][i]))\n",
    "\n",
    "plt.xlabel(r'$\\beta$')\n",
    "plt.ylabel('return')\n",
    "plt.title('CAPM from 1965 to 2017',fontweight='bold')\n",
    "sns.despine()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fama-French 3-factor model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col7 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col7 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col7 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col7 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col7 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col7 {\n",
       "            background-color:  yellow;\n",
       "        }    #T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col7 {\n",
       "            background-color:  yellow;\n",
       "        }</style>  \n",
       "<table id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729b\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >count</th> \n",
       "        <th class=\"col_heading level0 col1\" >mean</th> \n",
       "        <th class=\"col_heading level0 col2\" >std</th> \n",
       "        <th class=\"col_heading level0 col3\" >alpha</th> \n",
       "        <th class=\"col_heading level0 col4\" >b_mktrf</th> \n",
       "        <th class=\"col_heading level0 col5\" >b_smb</th> \n",
       "        <th class=\"col_heading level0 col6\" >b_hml</th> \n",
       "        <th class=\"col_heading level0 col7\" >t_alpha</th> \n",
       "        <th class=\"col_heading level0 col8\" >t_mktrf</th> \n",
       "        <th class=\"col_heading level0 col9\" >t_smb</th> \n",
       "        <th class=\"col_heading level0 col10\" >t_hml</th> \n",
       "        <th class=\"col_heading level0 col11\" >adj. R2</th> \n",
       "        <th class=\"col_heading level0 col12\" >fitted</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >port</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row0\" class=\"row_heading level0 row0\" >me1bm1</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col0\" class=\"data row0 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col1\" class=\"data row0 col1\" >0.575005</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col2\" class=\"data row0 col2\" >12.2255</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col3\" class=\"data row0 col3\" >-0.735795</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col4\" class=\"data row0 col4\" >1.28953</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col5\" class=\"data row0 col5\" >1.43633</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col6\" class=\"data row0 col6\" >0.427336</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col7\" class=\"data row0 col7\" >-3.3456</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col8\" class=\"data row0 col8\" >29.3861</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col9\" class=\"data row0 col9\" >20.004</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col10\" class=\"data row0 col10\" >6.6591</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col11\" class=\"data row0 col11\" >0.65506</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow0_col12\" class=\"data row0 col12\" >1.3108</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row1\" class=\"row_heading level0 row1\" >me1bm2</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col0\" class=\"data row1 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col1\" class=\"data row1 col1\" >0.69333</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col2\" class=\"data row1 col2\" >9.84319</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col3\" class=\"data row1 col3\" >-0.422258</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col4\" class=\"data row1 col4\" >1.07956</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col5\" class=\"data row1 col5\" >1.53613</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col6\" class=\"data row1 col6\" >0.226445</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col7\" class=\"data row1 col7\" >-3.30391</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col8\" class=\"data row1 col8\" >42.334</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col9\" class=\"data row1 col9\" >36.8148</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col10\" class=\"data row1 col10\" >6.07213</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col11\" class=\"data row1 col11\" >0.820305</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow1_col12\" class=\"data row1 col12\" >1.11559</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row2\" class=\"row_heading level0 row2\" >me1bm3</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col0\" class=\"data row2 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col1\" class=\"data row2 col1\" >0.996194</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col2\" class=\"data row2 col2\" >8.99245</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col3\" class=\"data row2 col3\" >-0.153679</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col4\" class=\"data row2 col4\" >1.05466</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col5\" class=\"data row2 col5\" >1.24115</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col6\" class=\"data row2 col6\" >0.51509</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col7\" class=\"data row2 col7\" >-1.67141</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col8\" class=\"data row2 col8\" >57.4877</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col9\" class=\"data row2 col9\" >41.3461</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col10\" class=\"data row2 col10\" >19.199</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col11\" class=\"data row2 col11\" >0.888566</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow2_col12\" class=\"data row2 col12\" >1.14987</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row3\" class=\"row_heading level0 row3\" >me1bm4</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col0\" class=\"data row3 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col1\" class=\"data row3 col1\" >1.18521</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col2\" class=\"data row3 col2\" >8.33944</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col3\" class=\"data row3 col3\" >0.0879211</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col4\" class=\"data row3 col4\" >0.945476</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col5\" class=\"data row3 col5\" >1.22384</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col6\" class=\"data row3 col6\" >0.574061</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col7\" class=\"data row3 col7\" >1.27227</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col8\" class=\"data row3 col8\" >68.5694</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col9\" class=\"data row3 col9\" >54.2447</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col10\" class=\"data row3 col10\" >28.4691</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col11\" class=\"data row3 col11\" >0.926808</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow3_col12\" class=\"data row3 col12\" >1.09728</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row4\" class=\"row_heading level0 row4\" >me1bm5</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col0\" class=\"data row4 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col1\" class=\"data row4 col1\" >1.35935</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col2\" class=\"data row4 col2\" >9.28747</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col3\" class=\"data row4 col3\" >0.0872788</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col4\" class=\"data row4 col4\" >0.987676</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col5\" class=\"data row4 col5\" >1.30421</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col6\" class=\"data row4 col6\" >0.91106</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col7\" class=\"data row4 col7\" >1.24054</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col8\" class=\"data row4 col8\" >70.3574</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col9\" class=\"data row4 col9\" >56.7797</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col10\" class=\"data row4 col10\" >44.3791</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col11\" class=\"data row4 col11\" >0.938834</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow4_col12\" class=\"data row4 col12\" >1.27207</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row5\" class=\"row_heading level0 row5\" >me2bm1</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col0\" class=\"data row5 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col1\" class=\"data row5 col1\" >0.633257</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col2\" class=\"data row5 col2\" >7.98569</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col3\" class=\"data row5 col3\" >-0.226136</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col4\" class=\"data row5 col4\" >1.08628</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col5\" class=\"data row5 col5\" >1.1253</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col6\" class=\"data row5 col6\" >-0.227412</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col7\" class=\"data row5 col7\" >-3.03301</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col8\" class=\"data row5 col8\" >73.0192</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col9\" class=\"data row5 col9\" >46.2291</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col10\" class=\"data row5 col10\" >-10.4531</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col11\" class=\"data row5 col11\" >0.907087</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow5_col12\" class=\"data row5 col12\" >0.859393</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row6\" class=\"row_heading level0 row6\" >me2bm2</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col0\" class=\"data row6 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col1\" class=\"data row6 col1\" >0.926487</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col2\" class=\"data row6 col2\" >7.49729</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col3\" class=\"data row6 col3\" >0.00143054</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col4\" class=\"data row6 col4\" >1.01927</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col5\" class=\"data row6 col5\" >0.978575</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col6\" class=\"data row6 col6\" >0.134653</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col7\" class=\"data row6 col7\" >0.0236134</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col8\" class=\"data row6 col8\" >84.3218</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col9\" class=\"data row6 col9\" >49.4763</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col10\" class=\"data row6 col10\" >7.61735</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col11\" class=\"data row6 col11\" >0.930405</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow6_col12\" class=\"data row6 col12\" >0.925056</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row7\" class=\"row_heading level0 row7\" >me2bm3</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col0\" class=\"data row7 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col1\" class=\"data row7 col1\" >0.98796</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col2\" class=\"data row7 col2\" >7.25107</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col3\" class=\"data row7 col3\" >0.0335085</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col4\" class=\"data row7 col4\" >0.98421</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col5\" class=\"data row7 col5\" >0.832513</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col6\" class=\"data row7 col6\" >0.348314</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col7\" class=\"data row7 col7\" >0.593049</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col8\" class=\"data row7 col8\" >87.3004</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col9\" class=\"data row7 col9\" >45.1306</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col10\" class=\"data row7 col10\" >21.1269</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col11\" class=\"data row7 col11\" >0.935281</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow7_col12\" class=\"data row7 col12\" >0.954451</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row8\" class=\"row_heading level0 row8\" >me2bm4</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col0\" class=\"data row8 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col1\" class=\"data row8 col1\" >1.07237</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col2\" class=\"data row8 col2\" >7.42406</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col3\" class=\"data row8 col3\" >0.0481492</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col4\" class=\"data row8 col4\" >0.969332</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col5\" class=\"data row8 col5\" >0.812167</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col6\" class=\"data row8 col6\" >0.564793</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col7\" class=\"data row8 col7\" >0.948704</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col8\" class=\"data row8 col8\" >95.721</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col9\" class=\"data row8 col9\" >49.0153</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col10\" class=\"data row8 col10\" >38.1382</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col11\" class=\"data row8 col11\" >0.950187</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow8_col12\" class=\"data row8 col12\" >1.02422</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row9\" class=\"row_heading level0 row9\" >me2bm5</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col0\" class=\"data row9 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col1\" class=\"data row9 col1\" >1.24436</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col2\" class=\"data row9 col2\" >8.69431</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col3\" class=\"data row9 col3\" >0.0125892</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col4\" class=\"data row9 col4\" >1.06587</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col5\" class=\"data row9 col5\" >0.910968</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col6\" class=\"data row9 col6\" >0.884238</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col7\" class=\"data row9 col7\" >0.214549</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col8\" class=\"data row9 col8\" >91.0386</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col9\" class=\"data row9 col9\" >47.5527</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col10\" class=\"data row9 col10\" >51.6447</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col11\" class=\"data row9 col11\" >0.951451</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow9_col12\" class=\"data row9 col12\" >1.23177</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row10\" class=\"row_heading level0 row10\" >me3bm1</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col0\" class=\"data row10 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col1\" class=\"data row10 col1\" >0.706084</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col2\" class=\"data row10 col2\" >7.41099</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col3\" class=\"data row10 col3\" >-0.114354</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col4\" class=\"data row10 col4\" >1.12637</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col5\" class=\"data row10 col5\" >0.818255</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col6\" class=\"data row10 col6\" >-0.232083</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col7\" class=\"data row10 col7\" >-1.90203</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col8\" class=\"data row10 col8\" >93.895</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col9\" class=\"data row10 col9\" >41.687</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col10\" class=\"data row10 col10\" >-13.2294</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col11\" class=\"data row10 col11\" >0.929851</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow10_col12\" class=\"data row10 col12\" >0.820438</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row11\" class=\"row_heading level0 row11\" >me3bm2</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col0\" class=\"data row11 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col1\" class=\"data row11 col1\" >0.907694</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col2\" class=\"data row11 col2\" >6.45778</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col3\" class=\"data row11 col3\" >0.114131</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col4\" class=\"data row11 col4\" >1.02014</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col5\" class=\"data row11 col5\" >0.510024</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col6\" class=\"data row11 col6\" >0.0438582</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col7\" class=\"data row11 col7\" >2.13545</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col8\" class=\"data row11 col8\" >95.6624</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col9\" class=\"data row11 col9\" >29.2295</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col10\" class=\"data row11 col10\" >2.81233</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col11\" class=\"data row11 col11\" >0.926992</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow11_col12\" class=\"data row11 col12\" >0.793563</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row12\" class=\"row_heading level0 row12\" >me3bm3</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col0\" class=\"data row12 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col1\" class=\"data row12 col1\" >0.933266</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col2\" class=\"data row12 col2\" >6.50933</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col3\" class=\"data row12 col3\" >0.0694931</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col4\" class=\"data row12 col4\" >0.990256</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col5\" class=\"data row12 col5\" >0.442257</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col6\" class=\"data row12 col6\" >0.312351</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col7\" class=\"data row12 col7\" >1.28218</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col8\" class=\"data row12 col8\" >91.5688</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col9\" class=\"data row12 col9\" >24.9935</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col10\" class=\"data row12 col10\" >19.7505</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col11\" class=\"data row12 col11\" >0.926104</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow12_col12\" class=\"data row12 col12\" >0.863773</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row13\" class=\"row_heading level0 row13\" >me3bm4</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col0\" class=\"data row13 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col1\" class=\"data row13 col1\" >1.0133</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col2\" class=\"data row13 col2\" >6.88806</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col3\" class=\"data row13 col3\" >0.0568377</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col4\" class=\"data row13 col4\" >0.984052</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col5\" class=\"data row13 col5\" >0.464738</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col6\" class=\"data row13 col6\" >0.550426</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col7\" class=\"data row13 col7\" >1.03535</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col8\" class=\"data row13 col8\" >89.8381</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col9\" class=\"data row13 col9\" >25.93</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col10\" class=\"data row13 col10\" >34.3619</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col11\" class=\"data row13 col11\" >0.932296</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow13_col12\" class=\"data row13 col12\" >0.956465</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row14\" class=\"row_heading level0 row14\" >me3bm5</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col0\" class=\"data row14 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col1\" class=\"data row14 col1\" >1.14152</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col2\" class=\"data row14 col2\" >8.50324</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col3\" class=\"data row14 col3\" >-0.0612617</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col4\" class=\"data row14 col4\" >1.12699</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col5\" class=\"data row14 col5\" >0.58754</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col6\" class=\"data row14 col6\" >0.878335</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col7\" class=\"data row14 col7\" >-0.861477</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col8\" class=\"data row14 col8\" >79.4267</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col9\" class=\"data row14 col9\" >25.3068</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col10\" class=\"data row14 col10\" >42.3296</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col11\" class=\"data row14 col11\" >0.925453</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow14_col12\" class=\"data row14 col12\" >1.20278</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row15\" class=\"row_heading level0 row15\" >me4bm1</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col0\" class=\"data row15 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col1\" class=\"data row15 col1\" >0.720119</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col2\" class=\"data row15 col2\" >6.25137</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col3\" class=\"data row15 col3\" >0.075675</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col4\" class=\"data row15 col4\" >1.08419</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col5\" class=\"data row15 col5\" >0.329266</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col6\" class=\"data row15 col6\" >-0.353748</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col7\" class=\"data row15 col7\" >1.52694</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col8\" class=\"data row15 col8\" >109.639</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col9\" class=\"data row15 col9\" >20.3498</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col10\" class=\"data row15 col10\" >-24.4619</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col11\" class=\"data row15 col11\" >0.933008</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow15_col12\" class=\"data row15 col12\" >0.644444</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row16\" class=\"row_heading level0 row16\" >me4bm2</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col0\" class=\"data row16 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col1\" class=\"data row16 col1\" >0.752324</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col2\" class=\"data row16 col2\" >6.07699</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col3\" class=\"data row16 col3\" >-0.00121659</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col4\" class=\"data row16 col4\" >1.02217</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col5\" class=\"data row16 col5\" >0.228908</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col6\" class=\"data row16 col6\" >0.0872929</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col7\" class=\"data row16 col7\" >-0.0231388</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col8\" class=\"data row16 col8\" >97.4346</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col9\" class=\"data row16 col9\" >13.3353</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col10\" class=\"data row16 col10\" >5.68992</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col11\" class=\"data row16 col11\" >0.920213</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow16_col12\" class=\"data row16 col12\" >0.75354</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row17\" class=\"row_heading level0 row17\" >me4bm3</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col0\" class=\"data row17 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col1\" class=\"data row17 col1\" >0.864657</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col2\" class=\"data row17 col2\" >6.4088</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col3\" class=\"data row17 col3\" >0.0164555</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col4\" class=\"data row17 col4\" >1.0211</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col5\" class=\"data row17 col5\" >0.20519</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col6\" class=\"data row17 col6\" >0.346423</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col7\" class=\"data row17 col7\" >0.281761</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col8\" class=\"data row17 col8\" >87.6257</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col9\" class=\"data row17 col9\" >10.7614</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col10\" class=\"data row17 col10\" >20.3285</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col11\" class=\"data row17 col11\" >0.911485</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow17_col12\" class=\"data row17 col12\" >0.848201</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row18\" class=\"row_heading level0 row18\" >me4bm4</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col0\" class=\"data row18 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col1\" class=\"data row18 col1\" >0.969323</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col2\" class=\"data row18 col2\" >6.799</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col3\" class=\"data row18 col3\" >0.0320277</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col4\" class=\"data row18 col4\" >1.02766</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col5\" class=\"data row18 col5\" >0.194799</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col6\" class=\"data row18 col6\" >0.571071</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col7\" class=\"data row18 col7\" >0.53464</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col8\" class=\"data row18 col8\" >85.9765</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col9\" class=\"data row18 col9\" >9.96017</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col10\" class=\"data row18 col10\" >32.6704</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col11\" class=\"data row18 col11\" >0.917254</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow18_col12\" class=\"data row18 col12\" >0.937295</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row19\" class=\"row_heading level0 row19\" >me4bm5</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col0\" class=\"data row19 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col1\" class=\"data row19 col1\" >1.03824</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col2\" class=\"data row19 col2\" >8.7084</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col3\" class=\"data row19 col3\" >-0.185965</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col4\" class=\"data row19 col4\" >1.21722</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col5\" class=\"data row19 col5\" >0.289503</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col6\" class=\"data row19 col6\" >0.939664</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col7\" class=\"data row19 col7\" >-2.31873</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col8\" class=\"data row19 col8\" >76.0642</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col9\" class=\"data row19 col9\" >11.0564</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col10\" class=\"data row19 col10\" >40.1531</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col11\" class=\"data row19 col11\" >0.909594</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow19_col12\" class=\"data row19 col12\" >1.22421</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row20\" class=\"row_heading level0 row20\" >me5bm1</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col0\" class=\"data row20 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col1\" class=\"data row20 col1\" >0.62279</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col2\" class=\"data row20 col2\" >5.34193</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col3\" class=\"data row20 col3\" >0.0808381</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col4\" class=\"data row20 col4\" >1.02503</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col5\" class=\"data row20 col5\" >-0.145889</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col6\" class=\"data row20 col6\" >-0.263998</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col7\" class=\"data row20 col7\" >2.30709</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col8\" class=\"data row20 col8\" >146.615</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col9\" class=\"data row20 col9\" >-12.7531</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col10\" class=\"data row20 col10\" >-25.8212</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col11\" class=\"data row20 col11\" >0.954142</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow20_col12\" class=\"data row20 col12\" >0.541952</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row21\" class=\"row_heading level0 row21\" >me5bm2</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col0\" class=\"data row21 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col1\" class=\"data row21 col1\" >0.634941</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col2\" class=\"data row21 col2\" >5.2962</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col3\" class=\"data row21 col3\" >0.0221832</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col4\" class=\"data row21 col4\" >0.984933</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col5\" class=\"data row21 col5\" >-0.200833</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col6\" class=\"data row21 col6\" >0.0165314</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col7\" class=\"data row21 col7\" >0.531628</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col8\" class=\"data row21 col8\" >118.3</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col9\" class=\"data row21 col9\" >-14.7423</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col10\" class=\"data row21 col10\" >1.35776</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col11\" class=\"data row21 col11\" >0.933838</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow21_col12\" class=\"data row21 col12\" >0.612757</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row22\" class=\"row_heading level0 row22\" >me5bm3</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col0\" class=\"data row22 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col1\" class=\"data row22 col1\" >0.704071</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col2\" class=\"data row22 col2\" >5.63436</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col3\" class=\"data row22 col3\" >-0.00792298</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col4\" class=\"data row22 col4\" >0.963711</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col5\" class=\"data row22 col5\" >-0.254128</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col6\" class=\"data row22 col6\" >0.337568</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col7\" class=\"data row22 col7\" >-0.147613</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col8\" class=\"data row22 col8\" >89.9863</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col9\" class=\"data row22 col9\" >-14.5022</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col10\" class=\"data row22 col10\" >21.5539</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col11\" class=\"data row22 col11\" >0.903274</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow22_col12\" class=\"data row22 col12\" >0.711994</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row23\" class=\"row_heading level0 row23\" >me5bm4</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col0\" class=\"data row23 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col1\" class=\"data row23 col1\" >0.654145</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col2\" class=\"data row23 col2\" >6.60621</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col3\" class=\"data row23 col3\" >-0.244813</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col4\" class=\"data row23 col4\" >1.04081</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col5\" class=\"data row23 col5\" >-0.18494</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col6\" class=\"data row23 col6\" >0.652676</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col7\" class=\"data row23 col7\" >-4.34565</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col8\" class=\"data row23 col8\" >92.5946</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col9\" class=\"data row23 col9\" >-10.0553</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col10\" class=\"data row23 col10\" >39.705</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col11\" class=\"data row23 col11\" >0.922489</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow23_col12\" class=\"data row23 col12\" >0.898958</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729blevel0_row24\" class=\"row_heading level0 row24\" >me5bm5</th> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col0\" class=\"data row24 col0\" >1093</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col1\" class=\"data row24 col1\" >0.955306</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col2\" class=\"data row24 col2\" >8.55122</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col3\" class=\"data row24 col3\" >-0.184436</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col4\" class=\"data row24 col4\" >1.18182</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col5\" class=\"data row24 col5\" >-0.153419</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col6\" class=\"data row24 col6\" >1.01837</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col7\" class=\"data row24 col7\" >-1.75337</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col8\" class=\"data row24 col8\" >56.3083</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col9\" class=\"data row24 col9\" >-4.46735</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col10\" class=\"data row24 col10\" >33.1788</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col11\" class=\"data row24 col11\" >0.838713</td> \n",
       "        <td id=\"T_e87e8cf0_a216_11e8_914c_f45c898d729brow24_col12\" class=\"data row24 col12\" >1.13974</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1c21825400>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff3_mean = port25_2.groupby('port')['retx'].aggregate(['count','mean','std'])\n",
    "ff3_est = port25_2.groupby('port').apply(ols_reg,['mktrf','smb','hml'])\n",
    "factor3_mean = ff3[['mktrf','smb','hml']].mean()\n",
    "ff3_fitted = ff3_est['b_mktrf']*factor3_mean[0]+ff3_est['b_smb']*factor3_mean[1]+ff3_est['b_hml']*factor3_mean[2]\n",
    "ff3_fitted = pd.DataFrame(ff3_fitted,columns=['fitted'])\n",
    "ff3_a = ff3_mean.join(ff3_est).join(ff3_fitted)\n",
    "ff3_a.style.apply(sig_style,subset=['t_alpha'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "ax1 = sns.regplot(x='fitted', y='mean', data=ff3_a,scatter_kws={\"s\": 60},ci=None)\n",
    "for i, txt in enumerate(ff3_a.index):\n",
    "    ax1.annotate(txt, (ff3_a['fitted'][i], ff3_a['mean'][i]))\n",
    "\n",
    "plt.xlabel('fitted value')\n",
    "plt.ylabel('return')\n",
    "plt.title('Fama-French 3-factor model',fontweight='bold')\n",
    "sns.despine()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fama-French 5-factor model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>port</th>\n",
       "      <th>date</th>\n",
       "      <th>ret</th>\n",
       "      <th>mktrf</th>\n",
       "      <th>smb</th>\n",
       "      <th>hml</th>\n",
       "      <th>rmw</th>\n",
       "      <th>cma</th>\n",
       "      <th>rf</th>\n",
       "      <th>retx</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196307</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>-0.46</td>\n",
       "      <td>-0.81</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-1.16</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196308</td>\n",
       "      <td>3.80</td>\n",
       "      <td>5.07</td>\n",
       "      <td>-0.81</td>\n",
       "      <td>1.63</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>0.25</td>\n",
       "      <td>3.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196309</td>\n",
       "      <td>-2.70</td>\n",
       "      <td>-1.57</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>0.19</td>\n",
       "      <td>-0.80</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.27</td>\n",
       "      <td>-2.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196310</td>\n",
       "      <td>1.36</td>\n",
       "      <td>2.53</td>\n",
       "      <td>-1.29</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>2.75</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>0.29</td>\n",
       "      <td>1.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196311</td>\n",
       "      <td>-3.11</td>\n",
       "      <td>-0.85</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>1.66</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>2.22</td>\n",
       "      <td>0.27</td>\n",
       "      <td>-3.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196312</td>\n",
       "      <td>-2.94</td>\n",
       "      <td>1.83</td>\n",
       "      <td>-1.87</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>0.18</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>0.29</td>\n",
       "      <td>-3.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196401</td>\n",
       "      <td>3.95</td>\n",
       "      <td>2.24</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.64</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.51</td>\n",
       "      <td>0.30</td>\n",
       "      <td>3.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196402</td>\n",
       "      <td>3.14</td>\n",
       "      <td>1.54</td>\n",
       "      <td>0.30</td>\n",
       "      <td>2.83</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196403</td>\n",
       "      <td>0.63</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.42</td>\n",
       "      <td>3.36</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>me1bm1</td>\n",
       "      <td>196404</td>\n",
       "      <td>-1.70</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-1.51</td>\n",
       "      <td>-0.42</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>-1.10</td>\n",
       "      <td>0.29</td>\n",
       "      <td>-1.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     port    date   ret  mktrf   smb   hml   rmw   cma    rf  retx\n",
       "0  me1bm1  196307  0.85  -0.39 -0.46 -0.81  0.72 -1.16  0.27  0.58\n",
       "1  me1bm1  196308  3.80   5.07 -0.81  1.63  0.42 -0.40  0.25  3.55\n",
       "2  me1bm1  196309 -2.70  -1.57 -0.48  0.19 -0.80  0.23  0.27 -2.97\n",
       "3  me1bm1  196310  1.36   2.53 -1.29 -0.11  2.75 -2.26  0.29  1.07\n",
       "4  me1bm1  196311 -3.11  -0.85 -0.84  1.66 -0.34  2.22  0.27 -3.38\n",
       "5  me1bm1  196312 -2.94   1.83 -1.87 -0.11  0.18 -0.31  0.29 -3.23\n",
       "6  me1bm1  196401  3.95   2.24  0.09  1.64  0.21  1.51  0.30  3.65\n",
       "7  me1bm1  196402  3.14   1.54  0.30  2.83  0.04  0.87  0.26  2.88\n",
       "8  me1bm1  196403  0.63   1.41  1.42  3.36 -2.00  2.95  0.31  0.32\n",
       "9  me1bm1  196404 -1.70   0.10 -1.51 -0.42 -1.40 -1.10  0.29 -1.99"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff5 = pd.read_csv(file_path+'ff5.csv',header=0,names=['date','mktrf','smb','hml','rmw','cma','rf'])\n",
    "port25_3 = port25_1[['port','date','ret']].merge(ff5,how='inner',on='date')\n",
    "port25_3['retx'] = port25_3['ret'] - port25_3['rf']\n",
    "port25_3 = port25_3.sort_values(['port','date']).reset_index(drop=True)\n",
    "port25_3.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table id=\"T_e902bf8c_a216_11e8_9139_f45c898d729b\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >count</th> \n",
       "        <th class=\"col_heading level0 col1\" >mean</th> \n",
       "        <th class=\"col_heading level0 col2\" >std</th> \n",
       "        <th class=\"col_heading level0 col3\" >alpha</th> \n",
       "        <th class=\"col_heading level0 col4\" >b_mktrf</th> \n",
       "        <th class=\"col_heading level0 col5\" >b_smb</th> \n",
       "        <th class=\"col_heading level0 col6\" >b_hml</th> \n",
       "        <th class=\"col_heading level0 col7\" >b_rmw</th> \n",
       "        <th class=\"col_heading level0 col8\" >b_cma</th> \n",
       "        <th class=\"col_heading level0 col9\" >t_alpha</th> \n",
       "        <th class=\"col_heading level0 col10\" >t_mktrf</th> \n",
       "        <th class=\"col_heading level0 col11\" >t_smb</th> \n",
       "        <th class=\"col_heading level0 col12\" >t_hml</th> \n",
       "        <th class=\"col_heading level0 col13\" >t_rmw</th> \n",
       "        <th class=\"col_heading level0 col14\" >t_cma</th> \n",
       "        <th class=\"col_heading level0 col15\" >adj. R2</th> \n",
       "        <th class=\"col_heading level0 col16\" >fitted</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >port</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row0\" class=\"row_heading level0 row0\" >me1bm1</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col0\" class=\"data row0 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col1\" class=\"data row0 col1\" >0.25624</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col2\" class=\"data row0 col2\" >7.89372</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col3\" class=\"data row0 col3\" >-0.293284</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col4\" class=\"data row0 col4\" >1.03625</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col5\" class=\"data row0 col5\" >1.2542</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col6\" class=\"data row0 col6\" >-0.405826</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col7\" class=\"data row0 col7\" >-0.497763</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col8\" class=\"data row0 col8\" >-0.149549</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col9\" class=\"data row0 col9\" >-3.37326</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col10\" class=\"data row0 col10\" >48.0975</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col11\" class=\"data row0 col11\" >41.8746</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col12\" class=\"data row0 col12\" >-9.76735</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col13\" class=\"data row0 col13\" >-12.0852</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col14\" class=\"data row0 col14\" >-2.42547</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col15\" class=\"data row0 col15\" >0.928932</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow0_col16\" class=\"data row0 col16\" >1.3108</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row1\" class=\"row_heading level0 row1\" >me1bm2</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col0\" class=\"data row1 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col1\" class=\"data row1 col1\" >0.782804</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col2\" class=\"data row1 col2\" >6.88487</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col3\" class=\"data row1 col3\" >0.11658</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col4\" class=\"data row1 col4\" >0.939015</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col5\" class=\"data row1 col5\" >1.23202</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col6\" class=\"data row1 col6\" >-0.133309</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col7\" class=\"data row1 col7\" >-0.357649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col8\" class=\"data row1 col8\" >-0.000604481</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col9\" class=\"data row1 col9\" >1.77886</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col10\" class=\"data row1 col10\" >57.8213</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col11\" class=\"data row1 col11\" >54.5701</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col12\" class=\"data row1 col12\" >-4.2565</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col13\" class=\"data row1 col13\" >-11.5198</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col14\" class=\"data row1 col14\" >-0.0130063</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col15\" class=\"data row1 col15\" >0.946919</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow1_col16\" class=\"data row1 col16\" >1.11559</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row2\" class=\"row_heading level0 row2\" >me1bm3</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col0\" class=\"data row2 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col1\" class=\"data row2 col1\" >0.789168</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col2\" class=\"data row2 col2\" >5.95803</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col3\" class=\"data row2 col3\" >-0.0209894</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col4\" class=\"data row2 col4\" >0.930285</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col5\" class=\"data row2 col5\" >1.07828</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col6\" class=\"data row2 col6\" >0.114045</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col7\" class=\"data row2 col7\" >-0.0261291</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col8\" class=\"data row2 col8\" >0.0666431</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col9\" class=\"data row2 col9\" >-0.39548</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col10\" class=\"data row2 col10\" >70.7357</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col11\" class=\"data row2 col11\" >58.976</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col12\" class=\"data row2 col12\" >4.49653</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col13\" class=\"data row2 col13\" >-1.03924</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col14\" class=\"data row2 col14\" >1.77065</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col15\" class=\"data row2 col15\" >0.953515</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow2_col16\" class=\"data row2 col16\" >1.14987</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row3\" class=\"row_heading level0 row3\" >me1bm4</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col0\" class=\"data row3 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col1\" class=\"data row3 col1\" >1.01086</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col2\" class=\"data row3 col2\" >5.67813</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col3\" class=\"data row3 col3\" >0.181215</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col4\" class=\"data row3 col4\" >0.876355</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col5\" class=\"data row3 col5\" >1.05623</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col6\" class=\"data row3 col6\" >0.264676</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col7\" class=\"data row3 col7\" >-0.0274956</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col8\" class=\"data row3 col8\" >0.0702625</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col9\" class=\"data row3 col9\" >3.31951</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col10\" class=\"data row3 col10\" >64.7826</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col11\" class=\"data row3 col11\" >56.164</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col12\" class=\"data row3 col12\" >10.1454</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col13\" class=\"data row3 col13\" >-1.06319</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col14\" class=\"data row3 col14\" >1.81492</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col15\" class=\"data row3 col15\" >0.945851</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow3_col16\" class=\"data row3 col16\" >1.09728</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row4\" class=\"row_heading level0 row4\" >me1bm5</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col0\" class=\"data row4 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col1\" class=\"data row4 col1\" >1.0955</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col2\" class=\"data row4 col2\" >5.97626</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col3\" class=\"data row4 col3\" >0.124763</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col4\" class=\"data row4 col4\" >0.962591</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col5\" class=\"data row4 col5\" >1.06996</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col6\" class=\"data row4 col6\" >0.481495</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col7\" class=\"data row4 col7\" >0.006954</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col8\" class=\"data row4 col8\" >0.100096</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col9\" class=\"data row4 col9\" >2.1615</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col10\" class=\"data row4 col10\" >67.2991</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col11\" class=\"data row4 col11\" >53.8095</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col12\" class=\"data row4 col12\" >17.4557</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col13\" class=\"data row4 col13\" >0.254316</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col14\" class=\"data row4 col14\" >2.44534</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col15\" class=\"data row4 col15\" >0.945353</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow4_col16\" class=\"data row4 col16\" >1.27207</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row5\" class=\"row_heading level0 row5\" >me2bm1</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col0\" class=\"data row5 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col1\" class=\"data row5 col1\" >0.494961</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col2\" class=\"data row5 col2\" >7.15986</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col3\" class=\"data row5 col3\" >-0.0841641</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col4\" class=\"data row5 col4\" >1.09609</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col5\" class=\"data row5 col5\" >0.981118</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col6\" class=\"data row5 col6\" >-0.45562</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col7\" class=\"data row5 col7\" >-0.158381</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col8\" class=\"data row5 col8\" >-0.144976</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col9\" class=\"data row5 col9\" >-1.34032</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col10\" class=\"data row5 col10\" >70.4411</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col11\" class=\"data row5 col11\" >45.3548</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col12\" class=\"data row5 col12\" >-15.1831</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col13\" class=\"data row5 col13\" >-5.32418</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col14\" class=\"data row5 col14\" >-3.25559</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col15\" class=\"data row5 col15\" >0.95494</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow5_col16\" class=\"data row5 col16\" >0.859393</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row6\" class=\"row_heading level0 row6\" >me2bm2</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col0\" class=\"data row6 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col1\" class=\"data row6 col1\" >0.755408</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col2\" class=\"data row6 col2\" >5.95151</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col3\" class=\"data row6 col3\" >-0.0357027</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col4\" class=\"data row6 col4\" >1.01727</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col5\" class=\"data row6 col5\" >0.92252</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col6\" class=\"data row6 col6\" >-0.0237563</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col7\" class=\"data row6 col7\" >0.0913917</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col8\" class=\"data row6 col8\" >0.0464839</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col9\" class=\"data row6 col9\" >-0.670205</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col10\" class=\"data row6 col10\" >77.0625</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col11\" class=\"data row6 col11\" >50.2694</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col12\" class=\"data row6 col12\" >-0.933174</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col13\" class=\"data row6 col13\" >3.62146</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col14\" class=\"data row6 col14\" >1.23045</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col15\" class=\"data row6 col15\" >0.953065</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow6_col16\" class=\"data row6 col16\" >0.925056</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row7\" class=\"row_heading level0 row7\" >me2bm3</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col0\" class=\"data row7 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col1\" class=\"data row7 col1\" >0.881294</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col2\" class=\"data row7 col2\" >5.39663</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col3\" class=\"data row7 col3\" >0.00630738</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col4\" class=\"data row7 col4\" >0.977145</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col5\" class=\"data row7 col5\" >0.827638</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col6\" class=\"data row7 col6\" >0.256573</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col7\" class=\"data row7 col7\" >0.219641</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col8\" class=\"data row7 col8\" >0.0452467</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col9\" class=\"data row7 col9\" >0.121754</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col10\" class=\"data row7 col10\" >76.1185</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col11\" class=\"data row7 col11\" >46.3761</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col12\" class=\"data row7 col12\" >10.3638</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col13\" class=\"data row7 col13\" >8.94983</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col14\" class=\"data row7 col14\" >1.23161</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col15\" class=\"data row7 col15\" >0.946018</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow7_col16\" class=\"data row7 col16\" >0.954451</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row8\" class=\"row_heading level0 row8\" >me2bm4</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col0\" class=\"data row8 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col1\" class=\"data row8 col1\" >0.92869</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col2\" class=\"data row8 col2\" >5.21801</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col3\" class=\"data row8 col3\" >0.0277864</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col4\" class=\"data row8 col4\" >0.975023</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col5\" class=\"data row8 col5\" >0.737537</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col6\" class=\"data row8 col6\" >0.430726</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col7\" class=\"data row8 col7\" >0.132746</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col8\" class=\"data row8 col8\" >0.0813331</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col9\" class=\"data row8 col9\" >0.565444</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col10\" class=\"data row8 col10\" >80.0701</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col11\" class=\"data row8 col11\" >43.5674</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col12\" class=\"data row8 col12\" >18.3415</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col13\" class=\"data row8 col13\" >5.70226</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col14\" class=\"data row8 col14\" >2.33388</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col15\" class=\"data row8 col15\" >0.948044</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow8_col16\" class=\"data row8 col16\" >1.02422</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row9\" class=\"row_heading level0 row9\" >me2bm5</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col0\" class=\"data row9 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col1\" class=\"data row9 col1\" >0.988552</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col2\" class=\"data row9 col2\" >6.01145</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col3\" class=\"data row9 col3\" >-0.0364547</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col4\" class=\"data row9 col4\" >1.07416</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col5\" class=\"data row9 col5\" >0.885276</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col6\" class=\"data row9 col6\" >0.666273</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col7\" class=\"data row9 col7\" >0.0376384</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col8\" class=\"data row9 col8\" >0.00104424</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col9\" class=\"data row9 col9\" >-0.661924</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col10\" class=\"data row9 col10\" >78.7089</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col11\" class=\"data row9 col11\" >46.661</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col12\" class=\"data row9 col12\" >25.3153</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col13\" class=\"data row9 col13\" >1.44263</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col14\" class=\"data row9 col14\" >0.0267366</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col15\" class=\"data row9 col15\" >0.950831</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow9_col16\" class=\"data row9 col16\" >1.23177</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row10\" class=\"row_heading level0 row10\" >me3bm1</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col0\" class=\"data row10 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col1\" class=\"data row10 col1\" >0.506009</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col2\" class=\"data row10 col2\" >6.57025</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col3\" class=\"data row10 col3\" >0.0270916</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col4\" class=\"data row10 col4\" >1.06458</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col5\" class=\"data row10 col5\" >0.708738</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col6\" class=\"data row10 col6\" >-0.422313</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col7\" class=\"data row10 col7\" >-0.154318</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col8\" class=\"data row10 col8\" >-0.238836</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col9\" class=\"data row10 col9\" >0.462229</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col10\" class=\"data row10 col10\" >73.2996</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col11\" class=\"data row10 col11\" >35.1019</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col12\" class=\"data row10 col12\" >-15.0777</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col13\" class=\"data row10 col13\" >-5.55789</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col14\" class=\"data row10 col14\" >-5.74615</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col15\" class=\"data row10 col15\" >0.953382</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow10_col16\" class=\"data row10 col16\" >0.820438</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row11\" class=\"row_heading level0 row11\" >me3bm2</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col0\" class=\"data row11 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col1\" class=\"data row11 col1\" >0.789846</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col2\" class=\"data row11 col2\" >5.42215</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col3\" class=\"data row11 col3\" >0.0108781</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col4\" class=\"data row11 col4\" >1.04546</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col5\" class=\"data row11 col5\" >0.603759</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col6\" class=\"data row11 col6\" >0.082139</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col7\" class=\"data row11 col7\" >0.188198</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col8\" class=\"data row11 col8\" >0.0229994</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col9\" class=\"data row11 col9\" >0.176602</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col10\" class=\"data row11 col10\" >68.4935</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col11\" class=\"data row11 col11\" >28.4529</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col12\" class=\"data row11 col12\" >2.79041</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col13\" class=\"data row11 col13\" >6.4495</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col14\" class=\"data row11 col14\" >0.526515</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col15\" class=\"data row11 col15\" >0.924398</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow11_col16\" class=\"data row11 col16\" >0.793563</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row12\" class=\"row_heading level0 row12\" >me3bm3</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col0\" class=\"data row12 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col1\" class=\"data row12 col1\" >0.759938</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col2\" class=\"data row12 col2\" >4.9805</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col3\" class=\"data row12 col3\" >-0.0791608</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col4\" class=\"data row12 col4\" >1.00683</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col5\" class=\"data row12 col5\" >0.500112</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col6\" class=\"data row12 col6\" >0.333072</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col7\" class=\"data row12 col7\" >0.219335</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col8\" class=\"data row12 col8\" >0.0621247</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col9\" class=\"data row12 col9\" >-1.29731</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col10\" class=\"data row12 col10\" >66.5869</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col11\" class=\"data row12 col11\" >23.7915</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col12\" class=\"data row12 col12\" >11.4222</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col13\" class=\"data row12 col13\" >7.58774</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col14\" class=\"data row12 col14\" >1.43566</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col15\" class=\"data row12 col15\" >0.912068</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow12_col16\" class=\"data row12 col16\" >0.863773</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row13\" class=\"row_heading level0 row13\" >me3bm4</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col0\" class=\"data row13 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col1\" class=\"data row13 col1\" >0.879245</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col2\" class=\"data row13 col2\" >4.87881</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col3\" class=\"data row13 col3\" >-0.00780996</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col4\" class=\"data row13 col4\" >0.996058</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col5\" class=\"data row13 col5\" >0.466697</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col6\" class=\"data row13 col6\" >0.480981</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col7\" class=\"data row13 col7\" >0.188097</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col8\" class=\"data row13 col8\" >0.124324</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col9\" class=\"data row13 col9\" >-0.130032</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col10\" class=\"data row13 col10\" >66.9242</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col11\" class=\"data row13 col11\" >22.5557</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col12\" class=\"data row13 col12\" >16.7573</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col13\" class=\"data row13 col13\" >6.61078</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col14\" class=\"data row13 col14\" >2.91884</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col15\" class=\"data row13 col15\" >0.911216</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow13_col16\" class=\"data row13 col16\" >0.956465</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row14\" class=\"row_heading level0 row14\" >me3bm5</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col0\" class=\"data row14 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col1\" class=\"data row14 col1\" >1.02344</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col2\" class=\"data row14 col2\" >5.6193</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col3\" class=\"data row14 col3\" >-0.0136337</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col4\" class=\"data row14 col4\" >1.09848</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col5\" class=\"data row14 col5\" >0.603788</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col6\" class=\"data row14 col6\" >0.666107</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col7\" class=\"data row14 col7\" >0.188825</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col8\" class=\"data row14 col8\" >0.115299</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col9\" class=\"data row14 col9\" >-0.184723</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col10\" class=\"data row14 col10\" >60.0617</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col11\" class=\"data row14 col11\" >23.7471</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col12\" class=\"data row14 col12\" >18.8854</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col13\" class=\"data row14 col13\" >5.40051</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col14\" class=\"data row14 col14\" >2.20284</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col15\" class=\"data row14 col15\" >0.898938</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow14_col16\" class=\"data row14 col16\" >1.20278</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row15\" class=\"row_heading level0 row15\" >me4bm1</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col0\" class=\"data row15 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col1\" class=\"data row15 col1\" >0.609892</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col2\" class=\"data row15 col2\" >5.86082</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col3\" class=\"data row15 col3\" >0.168241</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col4\" class=\"data row15 col4\" >1.05852</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col5\" class=\"data row15 col5\" >0.365943</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col6\" class=\"data row15 col6\" >-0.428671</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col7\" class=\"data row15 col7\" >-0.129539</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col8\" class=\"data row15 col8\" >-0.072479</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col9\" class=\"data row15 col9\" >2.73951</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col10\" class=\"data row15 col10\" >69.5569</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col11\" class=\"data row15 col11\" >17.2972</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col12\" class=\"data row15 col12\" >-14.6064</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col13\" class=\"data row15 col13\" >-4.45259</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col14\" class=\"data row15 col14\" >-1.66421</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col15\" class=\"data row15 col15\" >0.935678</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow15_col16\" class=\"data row15 col16\" >0.644444</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row16\" class=\"row_heading level0 row16\" >me4bm2</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col0\" class=\"data row16 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col1\" class=\"data row16 col1\" >0.601572</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col2\" class=\"data row16 col2\" >5.09101</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col3\" class=\"data row16 col3\" >-0.195127</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col4\" class=\"data row16 col4\" >1.10345</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col5\" class=\"data row16 col5\" >0.278314</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col6\" class=\"data row16 col6\" >0.0490831</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col7\" class=\"data row16 col7\" >0.251267</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col8\" class=\"data row16 col8\" >0.247802</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col9\" class=\"data row16 col9\" >-2.92965</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col10\" class=\"data row16 col10\" >66.8576</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col11\" class=\"data row16 col11\" >12.1298</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col12\" class=\"data row16 col12\" >1.54208</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col13\" class=\"data row16 col13\" >7.96347</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col14\" class=\"data row16 col14\" >5.24633</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col15\" class=\"data row16 col15\" >0.899733</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow16_col16\" class=\"data row16 col16\" >0.75354</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row17\" class=\"row_heading level0 row17\" >me4bm3</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col0\" class=\"data row17 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col1\" class=\"data row17 col1\" >0.705624</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col2\" class=\"data row17 col2\" >4.9397</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col3\" class=\"data row17 col3\" >-0.135141</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col4\" class=\"data row17 col4\" >1.0754</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col5\" class=\"data row17 col5\" >0.248247</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col6\" class=\"data row17 col6\" >0.321186</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col7\" class=\"data row17 col7\" >0.227855</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col8\" class=\"data row17 col8\" >0.170368</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col9\" class=\"data row17 col9\" >-1.95428</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col10\" class=\"data row17 col10\" >62.7579</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col11\" class=\"data row17 col11\" >10.4209</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col12\" class=\"data row17 col12\" >9.71926</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col13\" class=\"data row17 col13\" >6.9555</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col14\" class=\"data row17 col14\" >3.4741</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col15\" class=\"data row17 col15\" >0.885195</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow17_col16\" class=\"data row17 col16\" >0.848201</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row18\" class=\"row_heading level0 row18\" >me4bm4</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col0\" class=\"data row18 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col1\" class=\"data row18 col1\" >0.859153</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col2\" class=\"data row18 col2\" >4.76142</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col3\" class=\"data row18 col3\" >0.0609383</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col4\" class=\"data row18 col4\" >1.01805</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col5\" class=\"data row18 col5\" >0.218992</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col6\" class=\"data row18 col6\" >0.469595</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col7\" class=\"data row18 col7\" >0.0646207</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col8\" class=\"data row18 col8\" >0.113073</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col9\" class=\"data row18 col9\" >0.907766</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col10\" class=\"data row18 col10\" >61.2001</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col11\" class=\"data row18 col11\" >9.46961</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col12\" class=\"data row18 col12\" >14.638</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col13\" class=\"data row18 col13\" >2.032</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col14\" class=\"data row18 col14\" >2.37517</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col15\" class=\"data row18 col15\" >0.883554</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow18_col16\" class=\"data row18 col16\" >0.937295</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row19\" class=\"row_heading level0 row19\" >me4bm5</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col0\" class=\"data row19 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col1\" class=\"data row19 col1\" >0.843097</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col2\" class=\"data row19 col2\" >5.65902</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col3\" class=\"data row19 col3\" >-0.10488</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col4\" class=\"data row19 col4\" >1.1592</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col5\" class=\"data row19 col5\" >0.293646</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col6\" class=\"data row19 col6\" >0.769797</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col7\" class=\"data row19 col7\" >0.0553882</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col8\" class=\"data row19 col8\" >-0.0401857</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col9\" class=\"data row19 col9\" >-1.23012</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col10\" class=\"data row19 col10\" >54.8672</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col11\" class=\"data row19 col11\" >9.99772</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col12\" class=\"data row19 col12\" >18.8933</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col13\" class=\"data row19 col13\" >1.37133</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col14\" class=\"data row19 col14\" >-0.664632</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col15\" class=\"data row19 col15\" >0.867026</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow19_col16\" class=\"data row19 col16\" >1.22421</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row20\" class=\"row_heading level0 row20\" >me5bm1</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col0\" class=\"data row20 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col1\" class=\"data row20 col1\" >0.487304</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col2\" class=\"data row20 col2\" >4.59803</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col3\" class=\"data row20 col3\" >0.11402</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col4\" class=\"data row20 col4\" >0.973192</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col5\" class=\"data row20 col5\" >-0.195422</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col6\" class=\"data row20 col6\" >-0.30935</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col7\" class=\"data row20 col7\" >0.180786</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col8\" class=\"data row20 col8\" >-0.0718143</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col9\" class=\"data row20 col9\" >2.66284</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col10\" class=\"data row20 col10\" >91.7196</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col11\" class=\"data row20 col11\" >-13.2483</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col12\" class=\"data row20 col12\" >-15.1179</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col13\" class=\"data row20 col13\" >8.91252</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col14\" class=\"data row20 col14\" >-2.36499</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col15\" class=\"data row20 col15\" >0.949197</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow20_col16\" class=\"data row20 col16\" >0.541952</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row21\" class=\"row_heading level0 row21\" >me5bm2</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col0\" class=\"data row21 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col1\" class=\"data row21 col1\" >0.530586</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col2\" class=\"data row21 col2\" >4.39512</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col3\" class=\"data row21 col3\" >-0.0869821</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col4\" class=\"data row21 col4\" >1.02712</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col5\" class=\"data row21 col5\" >-0.143284</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col6\" class=\"data row21 col6\" >0.0183705</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col7\" class=\"data row21 col7\" >0.210753</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col8\" class=\"data row21 col8\" >0.20661</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col9\" class=\"data row21 col9\" >-1.61013</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col10\" class=\"data row21 col10\" >76.728</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col11\" class=\"data row21 col11\" >-7.69927</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col12\" class=\"data row21 col12\" >0.711588</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col13\" class=\"data row21 col13\" >8.23522</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col14\" class=\"data row21 col14\" >5.39308</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col15\" class=\"data row21 col15\" >0.911497</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow21_col16\" class=\"data row21 col16\" >0.612757</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row22\" class=\"row_heading level0 row22\" >me5bm3</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col0\" class=\"data row22 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col1\" class=\"data row22 col1\" >0.544037</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col2\" class=\"data row22 col2\" >4.2585</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col3\" class=\"data row22 col3\" >-0.0838966</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col4\" class=\"data row22 col4\" >0.97484</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col5\" class=\"data row22 col5\" >-0.206558</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col6\" class=\"data row22 col6\" >0.251745</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col7\" class=\"data row22 col7\" >0.121258</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col8\" class=\"data row22 col8\" >0.187439</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col9\" class=\"data row22 col9\" >-1.20958</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col10\" class=\"data row22 col10\" >56.718</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col11\" class=\"data row22 col11\" >-8.64477</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col12\" class=\"data row22 col12\" >7.59498</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col13\" class=\"data row22 col13\" >3.69038</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col14\" class=\"data row22 col14\" >3.81068</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col15\" class=\"data row22 col15\" >0.844593</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow22_col16\" class=\"data row22 col16\" >0.711994</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row23\" class=\"row_heading level0 row23\" >me5bm4</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col0\" class=\"data row23 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col1\" class=\"data row23 col1\" >0.500154</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col2\" class=\"data row23 col2\" >4.60818</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col3\" class=\"data row23 col3\" >-0.245936</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col4\" class=\"data row23 col4\" >1.03469</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col5\" class=\"data row23 col5\" >-0.178679</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col6\" class=\"data row23 col6\" >0.681437</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col7\" class=\"data row23 col7\" >0.0729641</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col8\" class=\"data row23 col8\" >-0.00983348</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col9\" class=\"data row23 col9\" >-3.79865</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col10\" class=\"data row23 col10\" >64.4933</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col11\" class=\"data row23 col11\" >-8.01126</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col12\" class=\"data row23 col12\" >22.0246</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col13\" class=\"data row23 col13\" >2.37895</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col14\" class=\"data row23 col14\" >-0.214174</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col15\" class=\"data row23 col15\" >0.884365</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow23_col16\" class=\"data row23 col16\" >0.898958</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_e902bf8c_a216_11e8_9139_f45c898d729blevel0_row24\" class=\"row_heading level0 row24\" >me5bm5</th> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col0\" class=\"data row24 col0\" >649</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col1\" class=\"data row24 col1\" >0.668675</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col2\" class=\"data row24 col2\" >5.35183</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col3\" class=\"data row24 col3\" >-0.0242594</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col4\" class=\"data row24 col4\" >1.05777</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col5\" class=\"data row24 col5\" >-0.136622</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col6\" class=\"data row24 col6\" >0.998987</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col7\" class=\"data row24 col7\" >-0.245919</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col8\" class=\"data row24 col8\" >-0.37828</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col9\" class=\"data row24 col9\" >-0.256868</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col10\" class=\"data row24 col10\" >45.1979</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col11\" class=\"data row24 col11\" >-4.19925</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col12\" class=\"data row24 col12\" >22.1343</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col13\" class=\"data row24 col13\" >-5.49656</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col14\" class=\"data row24 col14\" >-5.64801</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col15\" class=\"data row24 col15\" >0.817569</td> \n",
       "        <td id=\"T_e902bf8c_a216_11e8_9139_f45c898d729brow24_col16\" class=\"data row24 col16\" >1.13974</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1c20833908>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff5_mean = port25_3.groupby('port')['retx'].aggregate(['count','mean','std'])\n",
    "ff5_est = port25_3.groupby('port').apply(ols_reg,['mktrf','smb','hml','rmw','cma'])\n",
    "factor5_mean = ff5[['mktrf','smb','hml','rmw','cma']].mean()\n",
    "ff5_fitted = ff5_est['b_mktrf']*factor5_mean[0]+ff5_est['b_smb']*factor5_mean[1] \\\n",
    "    +ff5_est['b_hml']*factor5_mean[2]+ff5_est['b_rmw']*factor5_mean[3]+ff5_est['b_cma']*factor5_mean[4]\n",
    "ff5_fitted = pd.DataFrame(ff3_fitted,columns=['fitted'])\n",
    "ff5_a = ff5_mean.join(ff5_est).join(ff5_fitted)\n",
    "ff5_a.style.apply(sig_style,subset=['t_alpha'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "ax1 = sns.regplot(x='fitted', y='mean', data=ff5_a,scatter_kws={\"s\": 60},ci=None)\n",
    "for i, txt in enumerate(ff5_a.index):\n",
    "    ax1.annotate(txt, (ff5_a['fitted'][i], ff5_a['mean'][i]))\n",
    "\n",
    "plt.xlabel('fitted value')\n",
    "plt.ylabel('return')\n",
    "plt.title('Fama-French 5-factor model',fontweight='bold')\n",
    "sns.despine()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
